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Browsing by Person "Urich, Tim"

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    Linking transcriptional dynamics of CH4-cycling grassland soil microbiomes to seasonal gas fluxes
    (2022) Täumer, Jana; Marhan, Sven; Groß, Verena; Jensen, Corinna; Kuss, Andreas W.; Kolb, Steffen; Urich, Tim; Täumer, Jana; Institute of Microbiology, Center for Functional Genomics of Microbes, University of Greifswald, Greifswald, Germany; Marhan, Sven; Institute of Soil Science and Land Evaluation, Soil Biology Department, University of Hohenheim, Stuttgart, Germany; Groß, Verena; Institute of Microbiology, Center for Functional Genomics of Microbes, University of Greifswald, Greifswald, Germany; Jensen, Corinna; Human Molecular Genetics Group, Department of Functional Genomics, University Medicine Greifswald, Greifswald, Germany; Kuss, Andreas W.; Human Molecular Genetics Group, Department of Functional Genomics, University Medicine Greifswald, Greifswald, Germany; Kolb, Steffen; Thaer Institute, Faculty of Life Sciences, Humboldt University of Berlin, Berlin, Germany; Urich, Tim; Institute of Microbiology, Center for Functional Genomics of Microbes, University of Greifswald, Greifswald, Germany
    Soil CH4 fluxes are driven by CH4-producing and -consuming microorganisms that determine whether soils are sources or sinks of this potent greenhouse gas. To date, a comprehensive understanding of underlying microbiome dynamics has rarely been obtained in situ. Using quantitative metatranscriptomics, we aimed to link CH4-cycling microbiomes to net surface CH4 fluxes throughout a year in two grassland soils. CH4 fluxes were highly dynamic: both soils were net CH4 sources in autumn and winter and sinks in spring and summer, respectively. Correspondingly, methanogen mRNA abundances per gram soil correlated well with CH4 fluxes. Methanotroph to methanogen mRNA ratios were higher in spring and summer, when the soils acted as net CH4 sinks. CH4 uptake was associated with an increased proportion of USCα and γ pmoA and pmoA2 transcripts. We assume that methanogen transcript abundance may be useful to approximate changes in net surface CH4 emissions from grassland soils. High methanotroph to methanogen ratios would indicate CH4 sink properties. Our study links for the first time the seasonal transcriptional dynamics of CH4-cycling soil microbiomes to gas fluxes in situ. It suggests mRNA transcript abundances as promising indicators of dynamic ecosystem-level processes.

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